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I would not trust experiments using GAN on EEG to provide higher resolution/'quality' signals. You're not going to have a reasonable method to collect the data
by fundamental 7y ago
I would not trust experiments using GAN on EEG to provide higher resolution/'quality' signals. You're not going to have a reasonable method to collect the data needed to train such a network, nor to be able to generalize the network. It will hallucinate patterns and given the dubious statistical quality of many comp-neuro papers I would be even more skeptical of many results.
If you're interested in applying some of these ML techniques I'd consider looking towards ECoG or LFP array recordings where sensor noise and sensor failure could in part be approached by techniques like this. For long term LFP arrays sensor failure is expected and models do not need to necessarily generalize to other individuals (and there is enough data to train on).
Overall you're not going to create signal when there was none in the first place.
- TomMarius 7y agoI don't have the clear data but I know people that work on obtaining them and making them open (from local universities). I would like to use this method together with other methods, so even poorer performance than other methods could help - provide certainty in some uncertain edge cases, for example The big question is whether the signal detectable on the outside of skull is closely correlated with what's going on inside
- fundamental 7y agoAs an ex-researcher in this domain (still doing research, but elsewhere), the data does not currently exist. I believe you are grossly underestimating the amount of efforts, subjects, time, funds, and bureaucracy needed to obtain this data.
- TomMarius 7y agoYou are probably assuming I'm in the USA. I'm in Central Europe and this data is produced by local university (that has many great hospitals attached to it), open. I have friends who work on the project, they will start releasing data next year. They're working on the project for past 5 years.